Operant AI has officially launched Agent Protector, a first-of-its-kind real-time security solution built specifically for the rapidly expanding world of agentic AI. As enterprises increasingly deploy autonomous AI agents across cloud platforms, software environments, and business workflows, security risks have grown significantly. Consequently, Operant AI designed Agent Protector to deliver end-to-end visibility, real-time protection, and governance for both managed and unmanaged AI agents operating within corporate ecosystems.
Unlike traditional security tools, Agent Protector integrates multiple capabilities — including shadow agent discovery, secure development enclaves, cloud-native observability, behavioral threat detection, and zero-trust enforcement — into a single unified platform tailored for agentic security. This comprehensive approach allows organizations to innovate with AI while maintaining strong security controls.
Highlighting the urgency of this challenge, Suhel Khan, Head of Cybersecurity at Chargebee, stated, “Agentic AI is forcing financial services to redraw trust boundaries — perimeter-first security breaks down when autonomous agents can traverse apps, APIs, and data stores without a human in the loop. Operant’s real-time protection across the full agent toolchain — from MCP clients and endpoints to live, interactive agentic applications — lets technology leaders move fast without compromising customer privacy, making it a foundational control, rather than an afterthought.”
According to Gartner, by the end of 2026 nearly 40% of enterprise applications will rely on task-specific AI agents, up from less than 5% today. As adoption accelerates, security teams face mounting pressure to monitor autonomous systems that interact with sensitive data and mission-critical tools.
Explaining this risk, Vrajesh Bhavsar, co-founder and CEO of Operant AI, warned, “AI agents are proliferating across enterprises faster than security teams can track them.” He further emphasized that Agent Protector gives security teams real-time visibility and control while still enabling AI-driven innovation.
At its core, Agent Protector detects rogue agent behavior in real time. It analyzes tool usage patterns, tracks agent actions, and blocks suspicious activity such as privilege escalation, data exfiltration, or unauthorized access. The platform also prevents zero-click attacks, including “shadow escape” attempts where agents try to bypass security boundaries without user involvement.
In addition, the system automatically discovers hidden or unmanaged AI agents operating across cloud environments, SaaS platforms, and development tools. By mapping all agent identities and activities, organizations gain a complete view of their AI ecosystem.
For companies developing internal AI agents, Agent Protector provides secure enclaves that integrate with platforms such as LangGraph, CrewAI, n8n, and ChatGPT Agents SDK. This enables secure-by-design development with built-in monitoring and risk controls.
Furthermore, the platform delivers real-time observability through detailed activity tracking, execution telemetry, and tool usage graphs. Security teams can instantly detect anomalies and respond before threats escalate.
Finally, Agent Protector enforces zero-trust principles by applying least-privilege access, real-time authorization, data loss prevention, and sandboxing. Intelligent rate-limiting further prevents malicious activity before it impacts enterprise systems.
Overall, Operant AI’s Agent Protector marks a major step forward in agentic AI security, helping organizations safely scale autonomous AI adoption without compromising data protection or regulatory compliance.
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